ESTIMATING DISTRIBUTION OF PRECISION SOLAR RADIATION USING UNMANNED AERIAL VEHICLE

被引：1

作者：

Park, Jin-ki ^{[1
]}

Das, Amriata ^{[1
]}

Park, Jong-hwa ^{[1
]}

机构：

[1] Chungbuk Natl Univ, Dept Agr & Rural Engn, 1 Chungdae Ro, Cheongju 28644, Chungbuk, South Korea

来源：

2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2016年

关键词：

UAV; Solar Radiation; Topographic factor;

D O I：

10.1109/IGARSS.2016.7730754

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The aim of this study was to perform a precise spatial distribution of solar radiation estimation using UAV as a way to use solar energy efficiently. Fixed wing UAV was used to acquire image for a precisely topographical map. The whole work can be divided into two step. In first step, images acquired by UAV are used to build a digital surface model based on point cloud method. In the next step, calculated slope and angle data is used to model clear sky solar radiation. The solar radiation data for 2015 was taken from Korean Meteorological Administration (KMA). The highest daily solar radiation appears in May of 22.7 MJ/m(2), and the lowest daily solar radiation in May appears 15.7MJ/m(2). And the range of daily solar radiation appears in December is 2.9 MJ/m(2) to 7.1 MJ/m(2). These results may be useful providing input to agricultural and ecosystem that are dependent on solar radiation, such as engineers, designers, developers, and so forth, during the selection location process for solar installation.

引用

页码：6718 / 6721

页数：4

共 50 条

[41] Estimating Power Spectral Density of Unmanned Aerial Vehicle Rotor Noise Using Multisensory Information
Yen, Benjamin
Hioka, Yusuke
Mace, Brian
2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2018, : 2434 - 2438
[42] Impact of Operational Parameters on Droplet Distribution Using an Unmanned Aerial Vehicle in a Papaya Orchard
Ribeiro, Luis Felipe Oliveira
da Vitoria, Edney Leandro
Soprani Junior, Gilson Geraldo
Chen, Pengchao
Lan, Yubin
AGRONOMY-BASEL, 2023, 13 (04):
[43] Precision farming using Unmanned Aerial and Ground Vehicles
Vasudevan, Ashwin
Kumar, Ajith D.
Bhuvaneswari, N. S.
2016 IEEE INTERNATIONAL CONFERENCE ON TECHNOLOGICAL INNOVATIONS IN ICT FOR AGRICULTURE AND RURAL DEVELOPMENT (TIAR), 2016, : 146 - 150
[44] A Tunable Caching Distribution Model for Unmanned Aerial Vehicle Networks
Tang, Wenfei
Zhang, Hongtao
IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (11) : 8646 - 8656
[45] Precision wildlife monitoring using unmanned aerial vehicles
Hodgson, Jarrod C.
Baylis, Shane M.
Mott, Rowan
Herrod, Ashley
Clarke, Rohan H.
SCIENTIFIC REPORTS, 2016, 6
[46] Precision wildlife monitoring using unmanned aerial vehicles
Jarrod C. Hodgson
Shane M. Baylis
Rowan Mott
Ashley Herrod
Rohan H. Clarke
Scientific Reports, 6
[47] Estimating spray application rates in cotton using multispectral vegetation indices obtained using an unmanned aerial vehicle
Alves Martins, Pedro Henrique
Rojo Baio, Fabio Henrique
Dresch Martins, Tulio Henrique
Pereira Ferreira Fontoura, Joao Vitor
Ribeiro Teodoro, Larissa Pereira
da Silva Junior, Carlos Antonio
Teodoro, Paulo Eduardo
CROP PROTECTION, 2021, 140
[48] Cooperation between an unmanned aerial vehicle and an unmanned ground vehicle in highly accurate localization of gamma radiation hotspots
Lazna, Tomas
Gabrlik, Petr
Jilek, Tomas
Zalud, Ludek
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2018, 15 (01):
[49] Solar Photovoltaic Hotspot Inspection Using Unmanned Aerial Vehicle Thermal Images at a Solar Field in South India
Pruthviraj, Umesh
Kashyap, Yashwant
Baxevanaki, Effrosyni
Kosmopoulos, Panagiotis
REMOTE SENSING, 2023, 15 (07)
[50] Autonomous Ultrasonic Inspection Using Unmanned Aerial Vehicle
Zhang, Dayi
Watson, Robert
Dobie, Gordon
MacLeod, Charles
Pierce, Gareth
2018 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2018,

← 1 2 3 4 5 →